CodeSampleX

Exemplo

github.com/klauspost/compress v1.19.1: Estimate

Amostra verificada para golang github.com/klauspost/compress v1.19.1: Estimate. O contrato rodou em go 1.26 · linux debian/x64 · docker e passou.

sha256:b15d52df8bd4f2364e523380d90c0e80bbe83f130a9f694f2ad355e323874c1c

Esta rede oferece uma coisa: uma amostra que compila. Ela a executou em um sandbox e guardou o recibo assinado. Não classifica nem garante nada — se o mesmo código compila onde você está, ela não mediu. Quantas chaves de assinatura distintas enviaram um recibo de contrato aprovado. Uma é só o autor; mais de uma significa que outra pessoa também o compilou. Uma chave é gerada por conta própria e não tem identidade registrada por trás, então conta chaves, não pessoas. MIT-0

Evidência de execução

O ambiente declarado e as execuções assinadas ficam separados, para você ver exatamente o que esta amostra executou e onde.

Base da evidência
Contrato assinado aprovado
Recibos de verificação
1
Chaves de assinatura que o compilaram
1
Ambiente declarado linux 24 · ubuntu · glibc 2.39 x64 go

Ambientes das execuções de verificação

Ambiente Contrato Etapas Execução
go 1.26 · linux debian/x64 · docker ed25519:c1973797be207ac4 PASS compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS
CONTAINER_RUN · golang@1golang:1.26@sha256:e30143be198a…
2026-10-11

Caso

HOW
Objetivo
verify github.com/klauspost/compress.Estimate in pkg:golang/github.com/klauspost/compress@v1.19.1
Pacotes
Símbolos
  • github.com/klauspost/compress.Estimate
Criado
2026-10-11T11:22:49Z

Contrato

  1. compress.Estimate returns 0 for inputs shorter than 16 bytes
  2. compress.Estimate returns score above 0.1 for repetitive text patterns
  3. compress.Estimate returns score above 0.5 for highly compressible data like zeroes or repeated bytes
  4. compress.Estimate returns score below 0.1 for high-entropy pseudo-random bytes
  5. compress.Estimate ranks compressible data higher than high-entropy data

Arquivos

  • PROMPT.md
  • csx.json
  • estimate.go
  • go.mod
  • go.sum
  • spec.json
  • test/contract.go

Baixar o artefato de código-fonte (tar.gz)

Código-fonte

PROMPT.md
Clean-room public code sample — generation instructions

Write a brand-new, minimal, self-contained code sample in this clean-room directory.
Do not copy, paraphrase, or reference any existing project source. Work only from this spec.

A csx.json manifest scaffold already exists. Do not recreate it from memory. Preserve its case.goal, packages and symbols; fill its empty case.contract with exact assertions and correct its environment, commands and verifierAdapter for the files you generate.

Goal: verify github.com/klauspost/compress.Estimate in pkg:golang/github.com/klauspost/compress@v1.19.1
Kind: HOW

Use EXACTLY these public packages and versions:
  - pkg:golang/github.com/klauspost/compress@v1.19.1
Demonstrate these symbols/APIs:
  - github.com/klauspost/compress.Estimate

Rules:
  - One focused purpose; the smallest project that proves the goal.
  - Include a contract test (test/contract.*) that runs OFFLINE and exits 0 exactly when the goal behavior works.
  - Pin every dependency with a lockfile so resolution is reproducible.
  - No secrets, credentials, or tokens. No real URLs (only example.com or localhost). No absolute paths.
  - No personal names, emails, company names, or project identifiers of any kind.
  - No binaries and no generated output (node_modules, dist, target, venv, .git, .env).
  - Keep it under 200 files and 256KB packed.
csx.json
{"case":{"caseId":"case:sha256:30df9107f7a9e8d75dbadf62128ef6650f28ad9646191614d00ba1526d6e38e8","contract":["compress.Estimate returns 0 for inputs shorter than 16 bytes","compress.Estimate returns score above 0.1 for repetitive text patterns","compress.Estimate returns score above 0.5 for highly compressible data like zeroes or repeated bytes","compress.Estimate returns score below 0.1 for high-entropy pseudo-random bytes","compress.Estimate ranks compressible data higher than high-entropy data"],"goal":"verify github.com/klauspost/compress.Estimate in pkg:golang/github.com/klauspost/compress@v1.19.1","kind":"HOW","packages":["pkg:golang/github.com/klauspost/compress@v1.19.1"],"schemaVersion":1,"symbols":["github.com/klauspost/compress.Estimate"]},"contractCommand":["go","run","./test"],"environment":{"arch":"x64","distro":"ubuntu","ecosystem":"golang","libc":"glibc","libcVersion":"2.39","os":"linux","osVersionBucket":"24","packageManager":"go","schemaVersion":1},"license":"MIT-0","packages":["pkg:golang/github.com/klauspost/compress@v1.19.1"],"schemaVersion":1,"subject":"pkg:golang/github.com/klauspost/compress@v1.19.1","symbols":["github.com/klauspost/compress.Estimate"],"verifierAdapter":"golang@1"}
estimate.go
package sample

import (
	"github.com/klauspost/compress"
)

// Estimate returns a normalized compressibility estimate of block b using compress.Estimate.
// Values close to zero are likely uncompressible.
// Values above 0.1 are likely to be compressible.
// Values above 0.5 are very compressible.
// Very small lengths (< 16) return 0.
func Estimate(b []byte) float64 {
	return compress.Estimate(b)
}

// IsCompressible reports whether the given data is estimated to be compressible (score >= 0.1).
func IsCompressible(b []byte) bool {
	return compress.Estimate(b) >= 0.1
}

// IsHighlyCompressible reports whether the given data is estimated to be highly compressible (score >= 0.5).
func IsHighlyCompressible(b []byte) bool {
	return compress.Estimate(b) >= 0.5
}
go.mod
module sample

go 1.26.6

require github.com/klauspost/compress v1.19.1
go.sum
github.com/klauspost/compress v1.19.1 h1:VsB4HPswih7mmZ8WleSFQ75c/Ui1M4trX5oAsJnhSlk=
github.com/klauspost/compress v1.19.1/go.mod h1:cwPg85FWrGar70rWktvGQj8/hthj3wpl0PGDogxkrSQ=
spec.json
{
  "schemaVersion": 1,
  "goal": "verify github.com/klauspost/compress.Estimate in pkg:golang/github.com/klauspost/compress@v1.19.1",
  "kind": "HOW",
  "packages": [
    "pkg:golang/github.com/klauspost/compress@v1.19.1"
  ],
  "symbols": [
    "github.com/klauspost/compress.Estimate"
  ]
}
test/contract.go
package main

import (
	"bytes"
	"fmt"
	"os"

	"github.com/klauspost/compress"
	"sample"
)

func main() {
	// Assertion 1: compress.Estimate returns 0 for inputs shorter than 16 bytes
	shortInputs := [][]byte{
		nil,
		{},
		[]byte("short"),
		[]byte("123456789012345"), // 15 bytes
	}
	for _, input := range shortInputs {
		score := compress.Estimate(input)
		if score != 0 {
			fmt.Fprintf(os.Stderr, "FAIL: expected 0 for input length %d, got %f\n", len(input), score)
			os.Exit(1)
		}
	}

	// Assertion 2: compress.Estimate returns score above 0.1 for repetitive text patterns
	repetitiveText := bytes.Repeat([]byte("repeating-pattern-"), 50)
	scoreRepetitive := sample.Estimate(repetitiveText)
	if scoreRepetitive <= 0.1 {
		fmt.Fprintf(os.Stderr, "FAIL: expected repetitive score > 0.1, got %f\n", scoreRepetitive)
		os.Exit(1)
	}
	if !sample.IsCompressible(repetitiveText) {
		fmt.Fprintf(os.Stderr, "FAIL: expected IsCompressible true for repetitive text\n")
		os.Exit(1)
	}

	// Assertion 3: compress.Estimate returns score above 0.5 for highly compressible data like zeroes or repeated bytes
	zeroes := make([]byte, 500)
	scoreZeroes := sample.Estimate(zeroes)
	if scoreZeroes <= 0.5 {
		fmt.Fprintf(os.Stderr, "FAIL: expected zeroes score > 0.5, got %f\n", scoreZeroes)
		os.Exit(1)
	}
	if !sample.IsHighlyCompressible(zeroes) {
		fmt.Fprintf(os.Stderr, "FAIL: expected IsHighlyCompressible true for zeroes\n")
		os.Exit(1)
	}

	homogeneous := bytes.Repeat([]byte{'X'}, 256)
	scoreHomogeneous := sample.Estimate(homogeneous)
	if scoreHomogeneous <= 0.8 {
		fmt.Fprintf(os.Stderr, "FAIL: expected homogeneous score > 0.8, got %f\n", scoreHomogeneous)
		os.Exit(1)
	}

	// Assertion 4: compress.Estimate returns score below 0.1 for high-entropy pseudo-random bytes
	randomData := make([]byte, 512)
	var state uint32 = 123456789
	for i := range randomData {
		state = state*1664525 + 1013904223
		randomData[i] = byte(state >> 24)
	}
	scoreRandom := sample.Estimate(randomData)
	if scoreRandom >= 0.1 {
		fmt.Fprintf(os.Stderr, "FAIL: expected high-entropy score < 0.1, got %f\n", scoreRandom)
		os.Exit(1)
	}
	if sample.IsCompressible(randomData) {
		fmt.Fprintf(os.Stderr, "FAIL: expected IsCompressible false for high-entropy data, got score %f\n", scoreRandom)
		os.Exit(1)
	}

	// Assertion 5: compress.Estimate ranks compressible data higher than high-entropy data
	if scoreRepetitive <= scoreRandom {
		fmt.Fprintf(os.Stderr, "FAIL: expected repetitive score (%f) > random score (%f)\n", scoreRepetitive, scoreRandom)
		os.Exit(1)
	}
	if scoreZeroes <= scoreRandom {
		fmt.Fprintf(os.Stderr, "FAIL: expected zeroes score (%f) > random score (%f)\n", scoreZeroes, scoreRandom)
		os.Exit(1)
	}

	fmt.Println("PASS: verify github.com/klauspost/compress.Estimate contract passed")
}

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